Selection indexes for agronomic and chemical traits in segregating sweet corn populations

Detalhes bibliográficos
Autor(a) principal: Silva,Marina F e
Data de Publicação: 2020
Outros Autores: Maciel,Gabriel M, Finzi,Rafael R, Peixoto,Joicy Vitoria M, Rezende,Wender S, Castoldi,Renata
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Horticultura Brasileira
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362020000100071
Resumo: ABSTRACT In the sweet corn breeding, the selection of superior genotypes should consider many traits simultaneously. The best strategy to select traits simultaneously is through selection indexes. This study aimed to compare the efficiency of different selection indexes based on characteristics with direct effect on grain yield in segregating sweet corn populations. Eighteen traits were evaluated in eight sweet corn genotypes on generation F3. Data were submitted to analyses of variance and path coefficient analyses. We compared the direct and indirect selection and the following indexes: base, classical, desired gains and genotype-ideotype distance. According to path coefficient analyses, the traits which showed a direct effect about grain yield (GY) were stand, number of ears, ear diameter, number of grains per row and industrial yield, which composed the indexes. The base index provided the greatest total genetic gain, desired gains on all traits, uniform distribution of the gains and considerable gains on GY.
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spelling Selection indexes for agronomic and chemical traits in segregating sweet corn populationsZea mays subsp. sacharattaplant breedingselection gainsimultaneous selection of characteristicABSTRACT In the sweet corn breeding, the selection of superior genotypes should consider many traits simultaneously. The best strategy to select traits simultaneously is through selection indexes. This study aimed to compare the efficiency of different selection indexes based on characteristics with direct effect on grain yield in segregating sweet corn populations. Eighteen traits were evaluated in eight sweet corn genotypes on generation F3. Data were submitted to analyses of variance and path coefficient analyses. We compared the direct and indirect selection and the following indexes: base, classical, desired gains and genotype-ideotype distance. According to path coefficient analyses, the traits which showed a direct effect about grain yield (GY) were stand, number of ears, ear diameter, number of grains per row and industrial yield, which composed the indexes. The base index provided the greatest total genetic gain, desired gains on all traits, uniform distribution of the gains and considerable gains on GY.Associação Brasileira de Horticultura2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362020000100071Horticultura Brasileira v.38 n.1 2020reponame:Horticultura Brasileirainstname:Associação Brasileira de Horticultura (ABH)instacron:ABH10.1590/s0102-053620200111info:eu-repo/semantics/openAccessSilva,Marina F eMaciel,Gabriel MFinzi,Rafael RPeixoto,Joicy Vitoria MRezende,Wender SCastoldi,Renataeng2020-03-27T00:00:00Zoai:scielo:S0102-05362020000100071Revistahttp://cms.horticulturabrasileira.com.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||hortbras@gmail.com1806-99910102-0536opendoar:2020-03-27T00:00Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)false
dc.title.none.fl_str_mv Selection indexes for agronomic and chemical traits in segregating sweet corn populations
title Selection indexes for agronomic and chemical traits in segregating sweet corn populations
spellingShingle Selection indexes for agronomic and chemical traits in segregating sweet corn populations
Silva,Marina F e
Zea mays subsp. sacharatta
plant breeding
selection gain
simultaneous selection of characteristic
title_short Selection indexes for agronomic and chemical traits in segregating sweet corn populations
title_full Selection indexes for agronomic and chemical traits in segregating sweet corn populations
title_fullStr Selection indexes for agronomic and chemical traits in segregating sweet corn populations
title_full_unstemmed Selection indexes for agronomic and chemical traits in segregating sweet corn populations
title_sort Selection indexes for agronomic and chemical traits in segregating sweet corn populations
author Silva,Marina F e
author_facet Silva,Marina F e
Maciel,Gabriel M
Finzi,Rafael R
Peixoto,Joicy Vitoria M
Rezende,Wender S
Castoldi,Renata
author_role author
author2 Maciel,Gabriel M
Finzi,Rafael R
Peixoto,Joicy Vitoria M
Rezende,Wender S
Castoldi,Renata
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva,Marina F e
Maciel,Gabriel M
Finzi,Rafael R
Peixoto,Joicy Vitoria M
Rezende,Wender S
Castoldi,Renata
dc.subject.por.fl_str_mv Zea mays subsp. sacharatta
plant breeding
selection gain
simultaneous selection of characteristic
topic Zea mays subsp. sacharatta
plant breeding
selection gain
simultaneous selection of characteristic
description ABSTRACT In the sweet corn breeding, the selection of superior genotypes should consider many traits simultaneously. The best strategy to select traits simultaneously is through selection indexes. This study aimed to compare the efficiency of different selection indexes based on characteristics with direct effect on grain yield in segregating sweet corn populations. Eighteen traits were evaluated in eight sweet corn genotypes on generation F3. Data were submitted to analyses of variance and path coefficient analyses. We compared the direct and indirect selection and the following indexes: base, classical, desired gains and genotype-ideotype distance. According to path coefficient analyses, the traits which showed a direct effect about grain yield (GY) were stand, number of ears, ear diameter, number of grains per row and industrial yield, which composed the indexes. The base index provided the greatest total genetic gain, desired gains on all traits, uniform distribution of the gains and considerable gains on GY.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362020000100071
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-05362020000100071
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/s0102-053620200111
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Horticultura
publisher.none.fl_str_mv Associação Brasileira de Horticultura
dc.source.none.fl_str_mv Horticultura Brasileira v.38 n.1 2020
reponame:Horticultura Brasileira
instname:Associação Brasileira de Horticultura (ABH)
instacron:ABH
instname_str Associação Brasileira de Horticultura (ABH)
instacron_str ABH
institution ABH
reponame_str Horticultura Brasileira
collection Horticultura Brasileira
repository.name.fl_str_mv Horticultura Brasileira - Associação Brasileira de Horticultura (ABH)
repository.mail.fl_str_mv ||hortbras@gmail.com
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